2 papers
cs.IR2026
From Transfer to Collaboration: A Federated Framework for Cross-Market Sequential Recommendation
Jundong Chen, Honglei Zhang, Xiangmou Qu +3
Cross-market recommendation (CMR) aims to enhance recommendation performance across multiple markets. Due to its inherent characteristics, i.e., data isolation, non-overlapping use…
cs.CR2024
Voltran: Unlocking Trust and Confidentiality in Decentralized Federated Learning Aggregation
Hao Wang, Yichen Cai, Jun Wang +4
The decentralized Federated Learning (FL) paradigm built upon blockchain architectures leverages distributed node clusters to replace the single server for executing FL model aggre…